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קהילה:
אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Smart animal agriculture: application of real-time sensors to improve animal well-being and production
Year:
2019
Authors :
הלחמי, אילן
;
.
Volume :
7
Co-Authors:

Marcella Guarino - Department of Environmental Science and Policy, Università degli Studi di Milano, 20122 Milan, Italy; email: marcella.guarino@unimi.it

Jeffrey Bewley - Alltech, Inc., Nicholasville, Kentucky 40356, USA; email: jbewley@alltech.com

Matti Pastell - Natural Resources Institute Finland (Luke), Production Systems, FI-00790 Helsinki, Finland; email: matti.pastell@luke.fi

Facilitators :
From page:
403
To page:
425
(
Total pages:
23
)
Abstract:

Consumption of animal products such as meat, milk, and eggs in first-world countries has leveled off, but it is rising precipitously in developing countries. Agriculture will have to increase its output to meet demand, opening the door to increased automation and technological innovation; intensified, sustainable farming; and precision livestock farming (PLF) applications. Early indicators of medical problems, which use sensors to alert cattle farmers early concerning individual animals that need special care, are proliferating. Wearable technologies dominate the market. In less-value-per-animal systems like sheep, goat, pig, poultry, and fish, one sensor, like a camera or robot per herd/flock/school, rather than one sensor per animal, will become common. PLF sensors generate huge amounts of data, and many actors benefit from PLF data. No standards currently exist for sharing sensor-generated data, limiting the use of commercial sensors. Technologies providing accurate data can enhance a well-managed farm. Development of methods to turn the data into actionable solutions is critical.

Note:
Related Files :
animal welfare
Farm management
PLF (precision livestock farming)
Precision livestock farming
עוד תגיות
תוכן קשור
More details
DOI :
https://doi.org/10.1146/annurev-animal-020518-114851
Article number:
0
Affiliations:
Database:
גוגל סקולר
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
43820
Last updated date:
02/03/2022 17:27
Creation date:
08/09/2019 12:17
Scientific Publication
Smart animal agriculture: application of real-time sensors to improve animal well-being and production
7

Marcella Guarino - Department of Environmental Science and Policy, Università degli Studi di Milano, 20122 Milan, Italy; email: marcella.guarino@unimi.it

Jeffrey Bewley - Alltech, Inc., Nicholasville, Kentucky 40356, USA; email: jbewley@alltech.com

Matti Pastell - Natural Resources Institute Finland (Luke), Production Systems, FI-00790 Helsinki, Finland; email: matti.pastell@luke.fi

Smart animal agriculture: application of real-time sensors to improve animal well-being and production .

Consumption of animal products such as meat, milk, and eggs in first-world countries has leveled off, but it is rising precipitously in developing countries. Agriculture will have to increase its output to meet demand, opening the door to increased automation and technological innovation; intensified, sustainable farming; and precision livestock farming (PLF) applications. Early indicators of medical problems, which use sensors to alert cattle farmers early concerning individual animals that need special care, are proliferating. Wearable technologies dominate the market. In less-value-per-animal systems like sheep, goat, pig, poultry, and fish, one sensor, like a camera or robot per herd/flock/school, rather than one sensor per animal, will become common. PLF sensors generate huge amounts of data, and many actors benefit from PLF data. No standards currently exist for sharing sensor-generated data, limiting the use of commercial sensors. Technologies providing accurate data can enhance a well-managed farm. Development of methods to turn the data into actionable solutions is critical.

Scientific Publication
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